6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 6 cited
Jacobian Norm for Unsupervised Source-Free Domain Adaptation
Weikai Li, Meng Cao, Songcan Chen
Unsupervised Source (data) Free domain adaptation (USFDA) aims to transfer knowledge from a well-trained source model to a related but unlabeled target domain. In such a scenario,…
cs.LG2020
Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously
Qing Tian, Yanan Zhu, Chuang Ma +1
Unsupervised domain adaptation (UDA) is an emerging research topic in the field of machine learning and pattern recognition, which aims to help the learning of unlabeled target dom…